- Released
- 2y ago
- Size
- 1.1Bparameters
OpenELM language model that beat OLMo 1B with half the pretraining tokens, in base and instruct versions.
How it compares
Frequently asked questions
Running locally
By our estimate, OpenELM 1.1B needs about 1.3 GB at Q4, 1.8 GB at Q8 and 3 GB at FP16 of VRAM. That covers the weights plus headroom for a short context, and longer contexts need more.
Yes, by our estimates OpenELM 1.1B fits on an 8 GB GPU at FP16 (about 3 GB) and at higher precision on larger cards.
Yes, a Mac with at least 8 GB of unified memory should run OpenELM 1.1B at Q4, which needs an estimated 1.3 GB. This assumes macOS gives the GPU about 75% of unified memory.
Privacy and data
Yes, OpenELM 1.1B has open weights, so you can run it on your own hardware and keep prompts on your own machines.
Capabilities and specs
No, OpenELM 1.1B takes text input only.
Quality and benchmarks
Similar models from other labs include OLMo 1.7 7B (Ai2), Hermes 2 Pro Llama 3 8B (Nous) and Mistral 7B Instruct v0.3 (Mistral AI). They are the closest matches by kind and release date.
OLMo 1.7 7BOpenELM 1.1B vs OLMo 1.7 7BHermes 2 Pro Llama 3 8BOpenELM 1.1B vs Hermes 2 Pro Llama 3 8BMistral 7B Instruct v0.3OpenELM 1.1B vs Mistral 7B Instruct v0.3
Licensing and access
OpenELM 1.1B has open weights under the apple-amlr license, so you can download and run it yourself.
The OpenELM 1.1B weights are on Hugging Face at apple/OpenELM-1_1B.
Basics
OpenELM 1.1B was made by Apple. It was released on April 23, 2024.
Yes, OpenELM 1.1B has open weights, so you can run it on your own hardware without API fees.
Generated from Vertical Tabs data, updated November 3, 2026.




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